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DAMPAK BANJIR TERHADAP INFRASTRUKTUR DI KABUPATEN WAJO BERBASIS DATA CITRA MODIS NRT Syafruddin Rauf; A. Faisal Aboe; Herna Wahyuni
Jurnal Transportasi Vol. 17 No. 3 (2017)
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (726.041 KB) | DOI: 10.26593/jtrans.v17i3.2868.%p

Abstract

Abstract Flood response using earth satellite imagery in the form of Near Real Time is needed today, at national, regional, and local levels, due to high flood risk in Indonesia. The fundamental thing in flood disaster management in Indonesia is the absence of accurate data about the condition of flood events, at the time of the occurrence or after the flood disaster. This study aims to apply image data processing MODIS Near Real Time and mapping to be used in mitigation post flood disaster process. Road and building infrastructure data is obtained from the Open Street Map. Open Street Map data and Near Real Time MODIS image data were processed with QGIS Open Source program to analyze the impact of flood on road and building infrastructure in Wajo Regency. The results of the analysis explain that there are 10 districts affected by floods in Wajo Regency, with the biggest flood affected areas are Kecamatan Pammana, Kecamatan Belawa District, Kecamatan Sabbangparu, and Kecamatan Bola. Keywords: flood disaster, flood risk, earth satellite imagery, image data  Abstrak Respon banjir menggunakan citra satelit bumi dalam bentuk Near Real Time sangat dibutuhkan saat ini, baik di tingkat nasional, tingkat regional, maupun tingkat lokal, karena risiko banjir yang yang tinggi di Indonesia. Hal yang mendasar dalam penanggulangan bencana banjir di Indonesia adalah belum adanya data yang akurat tentang kondisi kejadian banjir, pada saat terjadinya maupun pascabencana banjir. Studi ini bertujuan untuk mengaplikasikan pengolahan data citra MODIS Near Real Time dan melakukan pemetaan untuk dapat digunakan dalam proses penanggulangan pascabencana banjir. Data infrastruktur jalan dan bangunan diperoleh dari Open Street Map. Data Open Street Map dan data citra MODIS Near Real Time diolah dengan program QGIS Open Source untuk menganalisis dampak banjir tehadap infrastruktur jalan dan bangunan di Kabupaten Wajo. Hasil analisis menjelaskan bahwa terdapat 10 kecamatan yang terdampak banjir di Kabupaten Wajo, dengan wilayah yang terdampak banjir terbesar adalah Kecamatan Pammana, Kecamatan Belawa, Kecamatan Sabbangparu, dan Kecamatan Bola. Kata-kata kunci: bencana banjir, risiko banjir, citra satelite bumi, data citra
Aplikasi Program Visum untuk Analisis Estimasi Pembebanan Jaringan Jalan di Kota Sungguminasa Kabupaten Gowa Muhammad Isran Ramli; S. A. Adisasmita; Hajriyanti Yatmar; Syafruddin Rauf; Muralia Hustim; S H Aly; R U Latief; Rosmariani Arifuddin; Suharman Hamzah; M A Abdurrahman
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 7 No 1 (2024): Community Development
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v7i1.361

Abstract

The Gowa Regency as a node area that has been designated as one part of the Metropolitan City, an integrated city of Mamminasata, so that Gowa Regency has an important role as a sub-center for the development of Makassar City. The increase in traffic volume has led to transportation problems including queues of vehicles on several roads in the city of Sungguminasa. On several roads in Gowa Regency, there are more potential of congestion occurs because the modes of transportation that pass on these roads have exceeded over the available of road capacity. On the other hand, the distribution modes of transportation is uneven which causes overload capacity on several roads in Gowa Regency, especially Somba Opu District. The purpose of this activity is to analyze the trip assignment of the existing road network conditions and forecast for the next five years based on the existing road level of service values ​​on each road segment according to the origin-destination distribution of trips using the Visum program application. Network assignment by overviewing the performance level of service of existing road network sections shows the classification of service on most road sections with levels A, B and C with indications of stable flow, with the speed is starting to be limited by traffic conditions. In forecasting conditions, it can be seen that the loading of the road network with its performance on most of the sections has decreased in service at levels D and E with indications that traffic is starting to be disrupted and speeds are slowing down. The results of the application of the Visum program in trip assignment for the existing road network with road service level values ​​provide important information as an effort to determine strategies and efforts in mitigation to overcome transportation problems. Detailed level of road service in a road network on several existing road sections will provide an integrated information regarding the potential for diverting several heavy traffic flows in an effort to prevent potential congestion.